Trasformazioni
Signal Processing Toolbox™ fornisce funzioni che consentono di calcolare trasformate in avanti e inverse ampiamente utilizzate, tra cui la trasformata di Fourier veloce (FFT), la trasformata del coseno discreto (DCT) e la trasformata di Walsh-Hadamard. Estrai gli inviluppi del segnale e stimare le frequenze istantanee utilizzando il segnale analitico. Analizza i segnali nel dominio tempo-frequenza. Studia le relazioni ampiezza-fase, stimare le frequenze fondamentali e rileva la periodicità spettrale utilizzando il cepstrum. Calcola le trasformate di Fourier discrete utilizzando l'algoritmo di Goertzel del secondo ordine.
Funzioni
Argomenti
Trasformate discrete di Fourier e coseno
- Discrete Fourier Transform
Explore the primary tool of digital signal processing. - Chirp Z-Transform
Use the CZT to evaluate the Z-transform outside of the unit circle and to compute transforms of prime length. - Discrete Cosine Transform
Compute discrete cosine transforms and learn about their energy compaction properties. - DCT for Speech Signal Compression
Use the discrete cosine transform to compress speech signals.
Trasformate di Hilbert e Walsh-Hadamard
- Hilbert Transform
The Hilbert transform helps form the analytic signal. - Analytic Signal for Cosine
Determine the analytic signal for a cosine and verify its properties. - Envelope Extraction
Extract the envelope of a signal using thehilbertandenvelopefunctions. - Analytic Signal and Hilbert Transform
Generate the analytic signal for a finite block of data using thehilbertfunction and an FIR Hilbert transformer. - Hilbert Transform and Instantaneous Frequency
Estimate the instantaneous frequency of a monocomponent signal using the Hilbert transform. Show that the procedure does not work for multicomponent signals. - Single-Sideband Amplitude Modulation
Perform single-sideband amplitude modulation of a signal using the Hilbert transform. Single-sideband AM signals have less bandwidth than normal AM signals. - Walsh-Hadamard Transform
Learn about the Walsh-Hadamard transform, a non-sinusoidal, orthogonal transformation technique. - Walsh-Hadamard Transform for Spectral Analysis and Compression of ECG Signals
Use an electrocardiogram signal to illustrate the Walsh-Hadamard transform.
Analisi Cepstral
- Complex Cepstrum — Fundamental Frequency Estimation
Use the complex cepstrum to estimate a speaker’s fundamental frequency. Compare the result with the estimate obtained with a zero-crossing method. - Cepstrum Analysis
Apply the complex cepstrum to detect echo in a signal.
Informazioni complementari
Esempi in primo piano
DFT Estimation with the Goertzel Algorithm
Use the Goertzel method to implement a DFT-based Dual-Tone Multi-Frequency detection algorithm.
Discrete Walsh-Hadamard Transform
Apply the Walsh-Hadamard transform and its properties to spread-spectrum communications and ECG signal processing.
Single Sideband Modulation via the Hilbert Transform
Use the discrete Hilbert transform to implement single sideband modulation, an efficient form of AM.
