Firm underdetermined blind separation source number and hybrid matrix estimating method and device
An underdetermined blind separation and mixed matrix technology, which is applied in speech analysis, instruments, etc., can solve problems such as the direction offset of the mixed matrix column vector, blind separation failure, narrow application range, etc., to reduce the amount of calculation and improve timeliness , a wide range of effects
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0063] In order to reduce the computational complexity of blind separation and expand the application range of blind signal separation, the embodiment of the present invention proposes a robust underdetermined blind separation source number and mixing matrix estimation method, which is aimed at periodic or approximately periodic stationary signals, Different source signals are allowed to have frequency overlap in a certain range, which reduces the requirement for source signal sparsity. The method includes the following steps:
[0064] 101: Perform spectrum correction on the observed spectrum; use the spectrum correction result to construct an M×Q dimensional harmonic parameter matrix, and normalize the constructed matrix;
[0065] 102: Establish a distance matrix for the normalized matrix, judge whether the elements in each column of the distance matrix are less than the threshold ξ, the frequency corresponding to the column whose elements are not less than the threshold is th...
Embodiment 2
[0069] The scheme in embodiment 1 is described in detail below in conjunction with specific calculation formula, accompanying drawing, example, see below for details:
[0070] According to different models of hybrid systems, blind separation can be divided into linear instantaneous hybrid, linear convolutional hybrid, and nonlinear hybrid. Linear transient mixing is the simplest structural form in blind signal separation, and it is also the most classic mixing model form. Therefore, the embodiment of the present invention adopts the linear transient mixing system model, and its model is:
[0071] x(t)=As(t)+n(t)(1)
[0072] Among them, s(t)=[s 1 (t),s 2 (t)...s n (t)...s N (t)] T is the source signal vector, N is the number of source signals; x(t)=[x 1 (t),x 2 (t)...x m (t)...x M (t)] T is the observed signal vector, M is the number of observed signals; n(t)=[n 1 (t),n 2 (t)...n n (t)...n N (t)] T is the noise, and A is the M×N dimensional unknown mixing matrix....
example 1
[0077] Example 1: Suppose the number of sources N=3, the number of observations M=2, and the sampling rate f s =8000Hz, the number of sampling points is L=4096, so that the direction of the mixing matrix is 20°, 80°, 140°, then the mixing matrix A is
[0078]
[0079] The N=3 source signals contain a total of Q=10 frequencies. Table 1 shows the amplitude and phase parameters of the frequency components of each source signal. The expression of each source signal is
[0080]
[0081] Among them, for the qth frequency component (1≤q≤Q)f q , a n,q and respectively for the nth source signal s n The amplitude and phase of the corresponding harmonic components in (t).
[0082] Table 1 Amplitude and phase parameters of the frequency components of each source signal
[0083]
[0084]
[0085] It can be seen from Table 1 that overall, s 1 (t)~s 3 The frequency component distribution of (t) is sparse, but not strictly sparse. Specifically, s 1 (t) and s 2 (t) Th...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com