Lowpass filter an ECG signal that contains high frequency noise.
Filter a sinusoid with the Overlap-Add and Overlap-Save FFT methods using the Frequency-Domain FIR filter block.
Use the Least Mean Square (LMS) algorithm to subtract noise from an input signal. The LMS adaptive filter uses the reference signal on the Input port and the desired signal on the Desired port
Use an RLS filter to extract useful information from a noisy signal. The information bearing signal is a sine wave that is corrupted by additive white gaussian noise.
Apply adaptive filters to signal separation using a structure called an adaptive line enhancer (ALE). In adaptive line enhancement, a measured signal x(n) contains two signals, an unknown
Adaptively estimate the time delay for a noisy input signal using the LMS adaptive FIR algorithm. The peak in the filter taps vector indicates the time-delay estimate.
Use a recursive least-squares (RLS) filter to identify an unknown system modeled with a lowpass FIR filter. The dynamic filter visualizer is used to compare the frequency response of the
Model analog-to-digital conversion using a sigma-delta algorithm implementation.
Efficiently convert sample rates between arbitrary factors.
Track the time-varying weights of a nonstationary channel using the Recursive Least Squares (RLS) algorithm.
Simulate steady-state behavior of a fixed-point digital down converter for GSM (Global System for Mobile) baseband conversions. The example model uses blocks from Simulink® and the DSP
Use the DyadicAnalysis and DyadicSynthesis System objects to remove noise from a signal.
Design perfect reconstruction two-channel filter banks, also known as the Quadrature Mirror Filter (QMF) Banks since they use power complementary filters.
Uses the Dyadic Analysis Filter Bank and Dyadic Synthesis Filter Bank blocks to show both the perfect reconstruction property of wavelets and an application for noise reduction.
Subtract noise from an input signal using the Recursive Least Squares (RLS) algorithm. The RLS adaptive filter uses the reference signal on the Input port and the desired signal on the
The convergence path taken by different adaptive filtering algorithms. The plot is a sequence of points of the form (w1,w2) where w1 and w2 are the weights of the adaptive filter. The blue dots
Use complex multirate filters in the implementation of Digital Down-Converters (DDC). The DDC is a key component of digital radios. It performs the frequency translation necessary to
Reconstruct three independent combined signals transmitted over a single communications link using a Wavelet Transmultiplexer (WTM). The example illustrates the perfect
Apply adaptive filters to noise removal using adaptive noise canceling. The example uses a user interface (UI) which can be launched by typing the command
Design lowpass FIR Nyquist filters. It also compares these filters with raised cosine and square root raised cosine filters. These filters are widely used in pulse-shaping for digital
Design filters for decimation and interpolation. Typically lowpass filters are used for decimation and for interpolation. When decimating, lowpass filters are used to reduce the
Use a Filtered-X LMS algorithm in Adaptive Noise Control (ANC).
The efficiency gains that are possible when using multirate and multistage filters for certain applications. In this case a distinct advantage is achieved over regular linear-phase
Synthesize a series of four stereo signals into a broadband signal by using the Channel Synthesizer block. At the receiving end of the model, split this broadband signal back into the
Implement a 25-tap lowpass FIR filter by using the docid:dsp_ref.bvi0_ng-1 block.