The following tables are necessary or useful to complete the cable and connector descriptions given in this document. The following is common information, which is used in the wire tables which follow:
Granular distortion and overload distortion[ edit ] Often the design of a quantizer involves supporting only a limited range of possible output values and performing clipping to limit the output to this range whenever the input exceeds the supported range.
The error introduced by this clipping is referred to as overload distortion. Within the extreme limits of the supported range, the amount of spacing between the selectable output values of a quantizer is referred to as its granularity, and the error introduced by this spacing is referred to as granular distortion.
It is common for the design of a quantizer to involve determining the proper balance between granular distortion and overload distortion.
For a given supported number of possible output values, reducing the average granular distortion may involve increasing the average overload distortion, and vice versa. However, in some quantizer designs, the concepts of granular error and overload error may not apply e.
The additive noise model for quantization error[ edit ] A common assumption for the analysis of quantization error is that it affects a signal processing system in a similar manner to that of additive white noise — having negligible correlation with the signal and an approximately flat power spectral density.
In actuality, the quantization error for quantizers defined as described here is deterministically related to the signal rather than being independent of it.
And in some cases it can even cause limit cycles to appear in digital signal processing systems. Quantization error models[ edit ] In the typical case, the original signal is much larger than one least significant bit LSB.
When this is the case, the quantization error is not significantly correlated with the signal, and has an approximately uniform distribution. In the rounding case, the quantization error has a mean of zero and the RMS value is the standard deviation of this distribution, given by 1.The least significant bit substitution method, referred to as LSB in this paper, is a well-known data-hiding method.
This method is easy to implement with low CPU cost, and has become one of the popular. the Hallicrafters, Inc. - S Series. The S was a post-war continuation of the "introductory" type receiver line, characterized by the pre-war Sky Buddy series.
Intended for the beginning ham or shortwave listener, the S was low-priced, easy to operate and most users were able to get good performance results considering the receiver's circuit limitations.
The Kachina MP is a manpack type transceiver which may be used for portable, pedestrian mobile, vehicle mobile, or fixed installations. The transceiver is designed to receive and transmit SSB single sideband suppressed carrier (2R7J3E), semi-break-in CW telegraphy (A1A), and compatible amplitude modulation (2R7A3E) signals.
Let's Build Something SSB Transceiver. The Lets Build Something Transceiver project currently has two transceivers on the air and we know of several that are in various stages of the build. The GCS1D2GYV (SKU ) is suitable for HF broadband or band specific high power, CW and pulse Jamming applications.
This amplifier utilizes high power push-pull MOSFET devices that provide wide frequency response, high gain, high peak power capability, and low distortions. Exceptional performance. LSB Matching Revisited(LSBMR) algorithm selects the embedding regions according to the size of secret message and the difference between two consecutive pixels in .