V4.0.1 of the ARM CMSIS DSP libraries. Note that arm_bitreversal2.s, arm_cfft_f32.c and arm_rfft_fast_f32.c had to be removed. arm_bitreversal2.s will not assemble with the online tools. So, the fast f32 FFT functions are not yet available. All the other FFT functions are available.
Dependents: MPU9150_Example fir_f32 fir_f32 MPU9150_nucleo_noni2cdev ... more
Filtering Functions
Modules | |
High Precision Q31 Biquad Cascade Filter | |
This function implements a high precision Biquad cascade filter which operates on Q31 data values. | |
Biquad Cascade IIR Filters Using Direct Form I Structure | |
This set of functions implements arbitrary order recursive (IIR) filters. | |
Biquad Cascade IIR Filters Using a Direct Form II Transposed Structure | |
This set of functions implements arbitrary order recursive (IIR) filters using a transposed direct form II structure. | |
Convolution | |
Convolution is a mathematical operation that operates on two finite length vectors to generate a finite length output vector. | |
Partial Convolution | |
Partial Convolution is equivalent to Convolution except that a subset of the output samples is generated. | |
Correlation | |
Correlation is a mathematical operation that is similar to convolution. | |
Finite Impulse Response (FIR) Decimator | |
These functions combine an FIR filter together with a decimator. | |
Finite Impulse Response (FIR) Filters | |
This set of functions implements Finite Impulse Response (FIR) filters for Q7, Q15, Q31, and floating-point data types. | |
Finite Impulse Response (FIR) Lattice Filters | |
This set of functions implements Finite Impulse Response (FIR) lattice filters for Q15, Q31 and floating-point data types. | |
Finite Impulse Response (FIR) Sparse Filters | |
This group of functions implements sparse FIR filters. | |
Infinite Impulse Response (IIR) Lattice Filters | |
This set of functions implements lattice filters for Q15, Q31 and floating-point data types. | |
Least Mean Square (LMS) Filters | |
LMS filters are a class of adaptive filters that are able to "learn" an unknown transfer functions. | |
Normalized LMS Filters | |
This set of functions implements a commonly used adaptive filter. | |
Finite Impulse Response (FIR) Interpolator | |
These functions combine an upsampler (zero stuffer) and an FIR filter. |
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