CPD Dynamics Home Practical Signal Processing
The Course: The aim of this two day intensive training course is to provide a basic understanding of the techniques of signal processing with particular emphasis on the practical aspects of the subject. Delegates will benefit from a careful balance of teaching and practical work.

The course allows ample opportunity for delegates to ask questions and exchange ideas with the lecturer and fellow delegates. Comprehensive notes will be provided and these serve as a valuable reference after the course.

Practical demonstration sessions will be held each day to reinforce concepts introduced in the lectures. The workshops utilise signal processing analysers to provide an illustration of basic techniques, applications and avoidable pitfalls in analysis procedures.

Independence: This course is not sponsored by, or dependent upon, any product manufacturer. Delegates will not be subjected to "sales lectures". This independence enables a free and open discussion of the key features and relative merits of spectrum analysers in an unbiased and objective way.

Participants: The course will be of value to those wishing to acquire a basic practical understanding of the techniques of signal processing. No prior knowledge of the subject is required.

Outline Syllabus:
Digital data acquisition periodic, transient and random data, quantisation, ADC capabilities, triggering, sampling and aliasing, record length requirements.
Data pre-processing calibration, data validation, editing, linear trend and wild point removal, integration and differentiation.
Amplitude statistics probability density, random and bias errors, level crossing, peak value and rainflow statistics.
Fourier series integral transform, DFT and FFT, psd, calculations pitfalls, spectral mapping, synchronous time averaging, order tracking, order ratio averaging.
Auto and cross correlation measurement of time delays and transmission paths, recovering signals in noise, cross correlation and cross spectrum relationship.
Leakage and windowing ensemble averaging, smoothing, frequency resolution, Zoom Transform, sources of error.
Frequency Response Function influence of measurement noise, H1, H2 and Hv, dynamic testing techniques, Bode and Nyquist diagrams, MIMO systems.
Coherence functions measure of confidence in FRF, coherent and incoherent output power spectrum, noise cancellation, conditioned spectra, partial coherence, source ranking.