Abstract: A missile, in particular a guided missile, has a missile body and a radar sensor unit for acquiring a target object. The radar sensor unit contains at least one radar antenna, strip-shaped in the longitudinal direction, that is mounted or integrated on a circumferential surface of the missile body such that the longitudinal direction of the at least one strip-shaped radar antenna is aligned in the direction of the missile longitudinal axis.

Abstract: In a method for fractal coding of signals, in which a domain block d is investigated for a range block r to be transmitted from an original signal, so that, after using the calculation rule r*=v·d+b, an approximated range block r* is generated, v·d being a linear function and b being an offset vector, the offset vector b in general has different components b=(b1, b2, . . . , bn) the offset vector b preferably being composed of weighted orthogonal basic functions of an orthogonal transformation.

Abstract: The process disclosed enables the "time domain aliasing cancellation" method to be extended systematically to larger block overlapping. The boundary conditions which, when using various modified transforms, the analysis and synthesis windows must comply with, can thus be given. The transform series must also be included in the design of each analysis and synthesis window in order to optimize for a given application, because this changes the boundry conditions with which an analysis window function can be determined. Design for analysis and synthesis windows have shown that analysis and synthesis properties obtained by multiple block overlapping are significantly better than those obtained by convential double block overlapping. The systematic method of the invention offers numerous possibilites for optimizing windows in special applications.

Abstract: A method of transmitting an analog signal including the steps of converting the analog signal into a digital signal and using windows to subdivide the digital signal into successive blocks. The blocks are evaluated for level changes, and when a level change is below a predetermined level the blocks are overlapped by 50%. The signal segments within the blocks assessed using analysis windows. The signal segments are transformed using subsampling and time domain aliasing cancellation to compensate for aliasing components. The signal segments are inverse transformed and assessed using synthesis windows. The blocks are rejoined in overlapping fashion. When the level change is above the predetermined level the signals are subdivided into blocks and the blocks are overlapped by less than 50%, or not overlapped at all. The signal segments are fully scanned, compressed and transformed. The signal segments are finally inverse transformed and expanded.

Abstract: A signal is divided by windows into successive blocks that overlap at least by 50% and signal sections contained in the blocks are evaluated by analysis windows. The signal sections contained in the blocks are subjected to a transformation which permits sub-sampling with compensation of the aliasing components such as, for example, the "time domain aliasing cancellation" method. The spectra resulting from the transformation are subsequently coded, transmitted, decoded after transmission and changed back to signal sections by re-transformation. The blocks including the signal sections are evaluated by synthesis windows and are joined together in an overlapping fashion. The window functions of the synthesis windows are determined in dependence on the window functions of the corresponding analysis windows in the overlap region.

Abstract: A method of transmitting an audio signal wherein the audio signal is partitioned into successive (in time) blocks by means of time windows, the signal parts contained in the blocks are converted to short-time frequency spectrums by transformation, subsequently the short-time frequency spectrums are coded on the basis of psycho-acoustical masking laws and are transmitted. The received coded signals are decoded, the short-time frequency spectrum signals are brought back into the time domain through re-transformation, and finally the blocks present in the time domain are assembled. Moreover, the blocks are partitioned into sub-blocks and, in case of signal level changes from one block to the other which exceed a predetermined value, the signal parts in the sub-blocks are subjected to a compression prior to transformation and to a complementary expansion after the re-transformation.