dsp.AnalyticSignal

Analytic signals of discrete-time inputs

Description

The dsp.AnalyticSignal System object™ computes analytic signals of discrete-time inputs. The real part of the analytic signal in each channel is a replica of the real input in that channel, and the imaginary part is the Hilbert transform of the input. In the frequency domain, the analytic signal doubles the positive frequency content of the original signal while zeroing-out negative frequencies and retaining the DC component. The object computes the Hilbert transform using an equiripple FIR filter.

To compute the analytic signal of a discrete-time input:

1. Create the dsp.AnalyticSignal object and set its properties.

2. Call the object with arguments, as if it were a function.

To learn more about how System objects work, see What Are System Objects?

This object supports C/C++ code generation and SIMD code generation under certain conditions. For more information, see Code Generation.

Creation

Syntax

anaSig = dsp.AnalyticSignal

anaSig = dsp.AnalyticSignal(order)

anaSig = dsp.AnalyticSignal(Name,Value)

Description

anaSig = dsp.AnalyticSignal returns an analytic signal object, anaSig, that computes the complex analytic signal corresponding to each channel of a real M-by-N input matrix.

anaSig = dsp.AnalyticSignal(order) returns an analytic signal object, anaSig, with the FilterOrder property set to order.

anaSig = dsp.AnalyticSignal(Name,Value) returns an analytic signal object, anaSig, with each specified property set to the specified value.

Properties

Unless otherwise indicated, properties are nontunable, which means you cannot change their values after calling the object. Objects lock when you call them, and the release function unlocks them.

If a property is tunable, you can change its value at any time.

For more information on changing property values, see System Design in MATLAB Using System Objects.

FilterOrder — Filter order used to compute Hilbert transform

100 (default) | scalar integer

Order of the equiripple FIR filter used in computing the Hilbert transform, specified as an even integer scalar greater than 3.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64

Usage

Syntax

y = anaSig(x)

Description

y = anaSig(x) computes the analytic signal, y, of the M-by-N input matrix x, according to the equation

$$Y=X+jH\left\{X\right\}$$

where j is the imaginary unit and $$H\left\{X\right\}$$ denotes the Hilbert transform.

Each of the N columns in x contains M sequential time samples from an independent channel. The method computes the analytic signal for each channel.

Input Arguments

x — Data input

vector | matrix

Data input, specified as a vector or a matrix.

Data Types: single | double
Complex Number Support: Yes

Output Arguments

y — Analytic signal output

vector | matrix

Analytic signal output, returned as a vector or a matrix.

Data Types: single | double
Complex Number Support: Yes

Object Functions

To use an object function, specify the System object as the first input argument. For example, to release system resources of a System object named obj, use this syntax:

release(obj)

Common to All System Objects

step	Run System object algorithm
release	Release resources and allow changes to System object property values and input characteristics
reset	Reset internal states of System object

Examples

Compute The Analytic Signal

Compute the analytic signal of a sinusoidal input.

t = (-1:0.01:1)';
x = sin(4*pi*t);
anaSig = dsp.AnalyticSignal(200);
y = anaSig(x);

View the analytic signal.

subplot(2,1,1);
plot(t, x)
title('Original Signal');
subplot(2,1,2), plot(t, [real(y) imag(y)]);
title('Analytic signal of the input')
legend('Real signal','Imaginary signal',...
    'Location','best');

More About

Analytic Signal

The analytic signal x = x_r + jx_i, where the real part x_r is the original data and the imaginary part x_i contains the Hilbert transform. The imaginary part is a version of the original real sequence with a 90° phase shift. Sines are therefore transformed to cosines, and conversely, cosines are transformed to sines. The Hilbert-transformed series has the same amplitude and frequency content as the original sequence. The transform includes phase information that depends on the phase of the original.

The Hilbert transform is useful in calculating instantaneous attributes of a time series, especially the amplitude and the frequency. The instantaneous amplitude is the amplitude of the complex Hilbert transform. The instantaneous frequency is the time rate of change of the instantaneous phase angle. For a pure sinusoid, the instantaneous amplitude and frequency are constant. The instantaneous phase, however, is a sawtooth, reflecting how the local phase angle varies linearly over a single cycle.

Algorithms

The algorithm computes the Hilbert transform using an equiripple FIR filter of the specified order n. The linear phase filter is designed using the Remez exchange algorithm and imposes a delay of n/2 on the input samples.

Extended Capabilities

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

See System Objects in MATLAB Code Generation (MATLAB Coder).

This object also supports SIMD code generation using Intel^® AVX2 code replacement library under these conditions:

• Input signal is real-valued.

• Input signal has a data type of single or double.

The SIMD technology significantly improves the performance of the generated code. For more information, see SIMD Code Generation. To generate SIMD code from this object, see Use Intel AVX2 Code Replacement Library to Generate SIMD Code from MATLAB Algorithms.

Version History

Introduced in R2012a