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# 32-bit IEEE 754 float API

group vect_f32_api

  Functions

  complex_float_t *fft_f32_forward(float x[], const unsigned fft_length)

    Perform forward FFT on a vector of IEEE754 floats.

    This function takes real input vector \(\bar x\) and performs a forward FFT on the signal in-place to get output vector \(\bar{X} = FFT{\bar{x}}\) . This implementation is accelerated by converting the IEEE754 float vector into a block floating-point representation to compute the FFT. The resulting BFP spectrum is then converted back to IEEE754 single-precision floats. The operation is performed in-place on `x[]`.

    See `bfp_fft_forward_mono()` for the details of the FFT.

    Whereas the input `x[]` is an array of `fft_length` `float` elements, the output (placed in `x[]`) is an array of `fft_length/2` `complex_float_t` elements, so the input should be cast after calling this.

        const unsigned FFT_N = 512
        float time_series[FFT_N] = { ... };
        fft_f32_forward(time_series, FFT_N);
        complex_float_t* freq_spectrum = (complex_float_t*) &time_series[0];
        const unsigned FREQ_BINS = FFT_N/2;
        // e.g.   freq_spectrum[FREQ_BINS-1].re

    `x[]` must begin at a double-word-aligned address.

    Operation Performed

      \[\begin{aligned} & \bar{X} \leftarrow FFT{\bar{x}} \end{aligned}\]
    Parameters:

      - x – [inout] Input vector \(\bar x\)

      - fft_length – [in] The length of \(\bar x\)

    Throws ET_LOAD_STORE:

      Raised if `x` is not double-word-aligned (See Note: Vector Alignment)

    Returns:

      Pointer to frequency-domain spectrum (i.e. `((complex_float_t*) &x[0])`)

  float *fft_f32_inverse(complex_float_t X[], const unsigned fft_length)

    Perform inverse FFT on a vector of complex_float_t.

    This function takes complex input vector \(\bar X\) and performs an inverse real FFT on the spectrum in-place to get output vector \(\bar{x} = IFFT{\bar{X}}\) . This implementation is accelerated by converting the IEEE754 float vector into a block floating-point representation to compute the IFFT. The resulting BFP signal is then converted back to IEEE754 single-precision floats. The operation is performed in-place on `X[]`.

    See `bfp_fft_inverse_mono()` for the details of the IFFT.

    Input `X[]` is an array of `fft_length/2` `complex_float_t` elements. The output (placed in `X[]`) is an array of `fft_length` `float` elements.

        const unsigned FFT_N = 512
        complex_float_t freq_spectrum[FFT_N/2] = { ... };
        fft_f32_inverse(freq_spectrum, FFT_N);
        float* time_series = (float*) &freq_spectrum[0];

    `X[]` must begin at a double-word-aligned address.

    Parameters:

      - X – [inout] Input vector \(\bar X\)

      - fft_length – [in] The FFT length. Twice the element count of \(\bar X\) .

    Throws ET_LOAD_STORE:

      Raised if `X` is not double-word-aligned (See Note: Vector Alignment)

    Returns:

      Pointer to time-domain signal (i.e. `((float*) &X[0])`)

  exponent_t vect_f32_max_exponent(const float b[], const unsigned length)

    Get the maximum (32-bit BFP) exponent from a vector of IEEE754 floats.

    This function is used to determine the BFP exponent to use when converting a vector of IEEE754 single-precision floats into a 32-bit BFP vector.

    The exponent returned, if used with `vect_f32_to_vect_s32()`, is the one which will result in no headroom in the BFP vector &#8212; that is, the minimum permissible exponent for the BFP vector. The minimum permissible exponent is derived from the maximum exponent found in the `float` elements themselves.

    More specifically, the `FSEXP` instruction is used on each element to determine its exponent. The value returned is the maximum exponent given by the `FSEXP` instruction plus `30`.

    `b[]` must begin at a double-word-aligned address.

    See also

    vect_f32_to_vect_s32

    See also

    vect_s32_to_vect_f32

    Note

    If required, when converting to a 32-bit BFP vector, additional headroom can be included by adding the amount of required headroom to the exponent returned by this function.

    Parameters:

      - b – [in] Input vector of IEEE754 single-precision floats \(\bar b\)

      - length – [in] Number of elements in \(\bar b\)

    Throws ET_LOAD_STORE:

      Raised if`b` is not double-word-aligned (See Note: Vector Alignment)

    Throws ET_ARITHMETIC:

      Raised if Any element of `b` is infinite or not-a-number.

    Returns:

      Exponent used for converting to 32-bit BFP vector.

  void vect_f32_to_vect_s32(int32_t a[], const float b[], const unsigned length, const exponent_t a_exp)

    Convert a vector of IEEE754 single-precision floats into a 32-bit BFP vector.

    This function converts a vector of IEEE754 single-precision floats \(\bar b\) into the mantissa vector \(\bar a\) of a 32-bit BFP vector, given BFP vector exponent \(a\_exp\) . Conceptually, the elements of output vector \(\bar{a} \cdot 2^{a\_exp}\) represent the same values as those of the input vector.

    Because the output exponent \(a\_exp\) is shared by all elements of the output vector, even though the output vector has 32-bit mantissas, precision may be lost on some elements if the exponents of the input elements \(b_k\) span a wide range.

    The function `vect_f32_max_exponent()` can be used to determine the value for \(a\_exp\) which minimizes headroom of the output vector.

    Operation Performed

      \[\begin{split}\begin{aligned} & a_k \leftarrow round(\frac{b_k}{2^{b\_exp}}) \\ & \qquad\text{ for }k\in 0\ ...\ (length-1) \end{aligned}\end{split}\]

    Parameter Details

      `a[]` represents the 32-bit output mantissa vector \(\bar a\) .

      `b[]` represents the IEEE754 float input vector \(\bar b\) .

      `a[]` and `b[]` must each begin at a double-word-aligned address.

      `b[]` can be safely updated in-place.

      `length` is the number of elements in each of the vectors.

      `a_exp` is the exponent associated with the output vector \(\bar a\) .

    See also

    vect_f32_max_exponent

    See also

    vect_s32_to_vect_f32

    Parameters:

      - a – [out] Output vector \(\bar a\)

      - b – [in] Input vector \(\bar b\)

      - length – [in] Number of elements in vectors \(\bar a\) and \(\bar b\)

      - a_exp – [in] Exponent \(a\_exp\) of output vector \(\bar a\)

    Throws ET_LOAD_STORE:

      Raised if `a` or `b` is not double-word-aligned (See Note: Vector Alignment)

    Throws ET_ARITHMETIC:

      Raised if Any element of `b` is infinite or not-a-number.

  float vect_f32_dot(const float b[], const float c[], const unsigned length)

    Compute the inner product of two IEEE754 float vectors.

    This function takes two vectors of IEEE754 single-precision floats and computes their inner product &#8212; the sum of the elementwise products. The `FMACC` instruction is used, granting full precision in the addition.

    The inner product \(a\) is returned.

    Operation Performed

      \[\begin{aligned} & a \leftarrow \sum_{k=0}^{length-1} ( b_k \cdot c_k ) \end{aligned}\]
    Parameters:

      - b – [in] Input vector \(\bar b\)

      - c – [in] Input vector \(\bar c\)

      - length – [in] Number of elements in vectors \(\bar b\) and \(\bar c\)

    Returns:

      The inner product

  void vect_f32_add(float a[], const float b[], const float c[], const unsigned length)

    Adds together two IEEE754 float vectors.

    This function takes two vectors of IEEE754 single-precision floats and computes the element-wise sum of the two vectors.

    `a[]` is the output vector \(\bar a\) into which results are placed.

    `b[]` and `c[]` are the input vectors \(\bar b\) and \(\bar c\) respectively.

    `a`, `b` and `c` each must begin at a double-word-aligned address.

    This operation can be performed safely in-place on `b[]` or `c[]`.

    Operation Performed

      \[\begin{split}\begin{aligned} & a_k \gets b_k + c_k \\ & \qquad\text{ for }k\in 0\ ...\ (length-1) \end{aligned}\end{split}\]
    Parameters:

      - a – [out] Output vector \(\bar a\)

      - b – [in] Input vector \(\bar b\)

      - c – [in] Input vector \(\bar c\)

      - length – [in] Number of elements in vectors \(\bar a\) , \(\bar b\) and \(\bar c\)

    Throws ET_LOAD_STORE:

      Raised if `a`, `b` or `c` is not double-word-aligned (See Note: Vector Alignment)

  void vect_complex_f32_add(complex_float_t a[], const complex_float_t b[], const complex_float_t c[], const unsigned length)

    Adds together two complex IEEE754 float vectors.

    This function takes two vectors \(\bar b\) and \(\bar c\) of complex IEEE754 single-precision floats and computes the element-wise sum of the two vectors.

    `a[]` is the output vector \(\bar a\) into which results are placed.

    `b[]` and `c[]` are the complex input vectors \(\bar b\) and \(\bar c\) respectively.

    `a`, `b` and `c` each must begin at a double-word-aligned address.

    This operation can be performed safely in-place on `b[]` or `c[]`.

    Operation Performed

      \[\begin{split}\begin{aligned} & a_k \gets b_k + c_k \\ & \qquad\text{ for }k\in 0\ ...\ (length-1) \end{aligned}\end{split}\]
    Parameters:

      - a – [out] Output vector \(\bar a\)

      - b – [in] Input vector \(\bar b\)

      - c – [in] Input vector \(\bar c\)

      - length – [in] Number of elements in vectors \(\bar a\) , \(\bar b\) and \(\bar c\)

    Throws ET_LOAD_STORE:

      Raised if `a`, `b` or `c` is not double-word-aligned (See Note: Vector Alignment)

  void vect_complex_f32_mul(complex_float_t a[], const complex_float_t b[], const complex_float_t c[], const unsigned length)

    Multiplies together two complex IEEE754 float vectors.

    This function takes two complex float vectors \(\bar b\) and \(\bar c\) as inputs. Each output element \(a_k\) is computed as \(b_k\) multiplied by \(c_k\) (using complex multiplication).

    `a[]` is the output vector \(\bar a\) into which results are placed.

    `b[]` and `c[]` are the complex input vectors \(\bar b\) and \(\bar c\) respectively.

    `a`, `b` and `c` each must begin at a double-word-aligned address.

    This operation can be performed safely in-place on `b[]` or `c[]`.

    Operation Performed

      \[\begin{split}\begin{aligned} & a_k \gets b_k \cdot c_k \\ & \qquad\text{ for }k\in 0\ ...\ (length-1) \end{aligned}\end{split}\]
    Parameters:

      - a – [out] Output vector \(\bar a\)

      - b – [in] Input vector \(\bar b\)

      - c – [in] Input vector \(\bar c\)

      - length – [in] Number of elements in vectors \(\bar a\) , \(\bar b\) and \(\bar c\)

    Throws ET_LOAD_STORE:

      Raised if `a`, `b` or `c` is not double-word-aligned (See Note: Vector Alignment)

  void vect_complex_f32_conj_mul(complex_float_t a[], const complex_float_t b[], const complex_float_t c[], const unsigned length)

    Conjugate multiplies together two complex IEEE754 float vectors.

    This function takes two complex float vectors \(\bar b\) and \(\bar c\) as inputs. Each output element \(a_k\) is computed as \(b_k\) multiplied by the complex conjugate of \(c_k\) (using complex multiplication).

    `a[]` is the output vector \(\bar a\) into which results are placed.

    `b[]` and `c[]` are the complex input vectors \(\bar b\) and \(\bar c\) respectively.

    `a`, `b` and `c` each must begin at a double-word-aligned address.

    This operation can be performed safely in-place on `b[]` or `c[]`.

    Operation Performed

      \[\begin{split}\begin{aligned} & a_k \gets b_k \cdot (c_k^*) \\ & \qquad\text{ for }k\in 0\ ...\ (length-1) \end{aligned}\end{split}\]
    Parameters:

      - a – [out] Output vector \(\bar a\)

      - b – [in] Input vector \(\bar b\)

      - c – [in] Input vector \(\bar c\)

      - length – [in] Number of elements in vectors \(\bar a\) , \(\bar b\) and \(\bar c\)

    Throws ET_LOAD_STORE:

      Raised if `a`, `b` or `c` is not double-word-aligned (See Note: Vector Alignment)

  void vect_complex_f32_macc(complex_float_t a[], const complex_float_t b[], const complex_float_t c[], const unsigned length)

    Adds the product of two complex IEEE754 float vectors to a third float vector.

    This function takes three complex float vectors \(\bar a\) , \(\bar b\) and \(\bar c\) as inputs. Each output element \(a_k\) is computed as input \(a_k\) plus \(b_k\) multiplied by \(c_k\) .

    `a[]` is accumulator vector \(\bar a\) , serving as both input and output.

    `b[]` and `c[]` are the complex input vectors \(\bar b\) and \(\bar c\) respectively.

    `a`, `b` and `c` each must begin at a double-word-aligned address.

    Operation Performed

      \[\begin{split}\begin{aligned} & a_k \gets a_k + b_k \cdot c_k \\ & \qquad\text{ for }k\in 0\ ...\ (length-1) \end{aligned}\end{split}\]
    Parameters:

      - a – [inout] Input/Output accumulator vector \(\bar a\)

      - b – [in] Input vector \(\bar b\)

      - c – [in] Input vector \(\bar c\)

      - length – [in] Number of elements in vectors \(\bar a\) , \(\bar b\) and \(\bar c\)

    Throws ET_LOAD_STORE:

      Raised if `a`, `b` or `c` is not double-word-aligned (See Note: Vector Alignment)

  void vect_complex_f32_conj_macc(complex_float_t a[], const complex_float_t b[], const complex_float_t c[], const unsigned length)

    Adds the product of two complex IEEE754 float vectors to a third float vector.

    This function takes three complex float vectors \(\bar a\) , \(\bar b\) and \(\bar c\) as inputs. Each output element \(a_k\) is computed as input \(a_k\) plus \(b_k\) multiplied by the complex conjugate of \(c_k\) .

    `a[]` is accumulator vector \(\bar a\) , serving as both input and output.

    `b[]` and `c[]` are the complex input vectors \(\bar b\) and \(\bar c\) respectively.

    `a`, `b` and `c` each must begin at a double-word-aligned address.

    Operation Performed

      \[\begin{split}\begin{aligned} & a_k \gets a_k + b_k \cdot (c_k^*) \\ & \qquad\text{ for }k\in 0\ ...\ (length-1) \end{aligned}\end{split}\]
    Parameters:

      - a – [inout] Input/Output accumulator vector \(\bar a\)

      - b – [in] Input vector \(\bar b\)

      - c – [in] Input vector \(\bar c\)

      - length – [in] Number of elements in vectors \(\bar a\) , \(\bar b\) and \(\bar c\)

    Throws ET_LOAD_STORE:

      Raised if `a`, `b` or `c` is not double-word-aligned (See Note: Vector Alignment)

  void vect_s32_to_vect_f32(float a[], const int32_t b[], const unsigned length, const exponent_t b_exp)

    Convert a 32-bit BFP vector into a vector of IEEE754 single-precision floats.

    This function converts a 32-bit mantissa vector and exponent \(\bar b \cdot 2^{b\_exp}\) into a vector of 32-bit IEEE754 single-precision floating-point elements \(\bar a\) . Conceptually, the elements of output vector \(\bar a\) represent the same values as those of the input vector.

    Because IEEE754 single-precision floats hold fewer mantissa bits, this operation may result in a loss of precision for some elements.

    Operation Performed

      \[\begin{split}\begin{aligned} & a_k \leftarrow b_k \cdot 2^{b\_exp} \\ & \qquad\text{ for }k\in 0\ ...\ (length-1) \end{aligned}\end{split}\]

    Parameter Details

      `a[]` represents the output IEEE754 float vector \(\bar a\) .

      `b[]` represents the 32-bit input mantissa vector \(\bar b\) .

      `a[]` and `b[]` must each begin at a double-word-aligned address.

      `b[]` can be safely updated in-place.

      `length` is the number of elements in each of the vectors.

      `b_exp` is the exponent associated with the input vector \(\bar b\) .

    See also

    vect_f32_to_vect_s32

    Parameters:

      - a – [out] Output vector \(\bar a\)

      - b – [in] Input vector \(\bar b\)

      - length – [in] Number of elements in vectors \(\bar a\) and \(\bar b\)

      - b_exp – [in] Exponent \(b\_exp\) of input vector \(\bar b\)

    Throws ET_LOAD_STORE:

      Raised if `a` or `b` is not double-word-aligned (See Note: Vector Alignment)