DSP Blockset    

Filtering

The following sublibraries reside in the Filtering library:

Adaptive Filters

Blocks for computing filter estimates of an input using various algorithms. (Blocks are available in the Adaptive Filters library.)
Kalman Adaptive Filter
Compute filter estimates for an input using the Kalman adaptive filter algorithm
LMS Adaptive Filter
Compute filter estimates for an input using the LMS adaptive filter algorithm
RLS Adaptive Filter
Compute filter estimates for an input using the RLS adaptive filter algorithm

Filter Design, Analysis, and Implementation

Blocks for designing, analyzing, and implementing various filters. (Blocks are available in the Filter Designs library.)
Analog Filter Design
Design and implement an analog filter
Digital Filter
Filter inputs with a specified time-varying or static digital FIR or IIR filter
Digital Filter Design
Design, analyze, and implement a variety of digital FIR and IIR filters.
Filter Realization Wizard
Automatically construct filter realizations using Sum, Gain, and Unit Delay blocks
Overlap-Add FFT Filter
Implement the overlap-add method of frequency-domain filtering
Overlap-Save FFT Filter
Implement the overlap-save method of frequency-domain filtering

Multirate Filters

Blocks for implementing various multirate filters. (Blocks are available in the Multirate Filters library.)
Dyadic Analysis Filter Bank
Decompose a signal into components of equal or logarithmically decreasing frequency subbands and sample rates
Dyadic Synthesis Filter Bank
Reconstruct a signal from its multirate bandlimited components.
FIR Decimation
Filter and downsample an input signal
FIR Interpolation
Upsample and filter an input signal
FIR Rate Conversion
Upsample, filter, and downsample an input signal
Two-Channel Analysis Subband Filter
Decompose a signal into a high-frequency subband and a low-frequency subband
Two-Channel Synthesis Subband Filter
Reconstruct a signal from a high-frequency subband and a low-frequency subband


  Estimation Math Functions