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If a random function is passed through a clipping stage so that it becomes in effect a "telegraph signal" (Fig. 8), it is found that detection of a sine wave buried in it is only slightly impaired. Such techniques have received some attention; they mean that digital techniques can be used instead of analogue ones, and in some cases this may bring about a welcome simplification. Evaluation of Results. At the present time, many people working in the random analysis field are surrounded by all kinds of complex equipment.

1. The 41 T H E A N A L Y S I S OF R A N D O M S I G N A L S criteria for statistical accuracy are usually present in terms of "degrees of freedom" (2BT) being the product of the filter bandwidth and averaging time. Once the resolution has been selected (2B) the averaging time constant (T) can be determined from the usual relations between statistical accuracy and degrees of freedom of the analysis. The sweep rate (q) is then usually calculated from: Β 10, Β = 7·5 C P S Τ = 0·Ι sec q =200 c p s / s > ε 1000 2000 Frequency, "3000cps 4000 5000 FIG.

B = 7 5 cps T=5 sec q =40 c p s / s 1000 2000 Frequency, 3000 4000 5000 cps FIG. 6b. Analysis of broad band data—degrees of freedom = 7 5 . One of the main difficulties involved in the analysing of broad band data stems from the fact that the dynamic range of this type of data is generally very large. Hence analyser gains must be carefully chosen to fully utilize the limited capa­ bilities of the equipment. If the 60 d b dynamic range of the analyser is n o t adequate then some form of pre-filtering before the pre-amplifier stage will be necessary.

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