JBL-BS602-eq-sm 维修电路原理图.pdf
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1、Specification - BS602 Automatic Equalisation Iss 2 23th Jan 2001 Paul Williams Rob Belcham General Description Maximal Length Sequence (MLS) analysis allows us to measure the magnitude response for auto-EQ. MLS benefits from good tolerance of poor SNR, so a high level stimulus is not required. MLS a
2、nalysis uses a Pseudo Random Binary Sequence (PRBS) which is pink-filtered so as to adequately stimulate the LF end of the spectrum without over-driving HF drivers. The stimulus sounds just like pink noise. The stimulus is played over the system, and is synchronously recorded via the measurement mic
3、rophone into memory on the DSP card. At the first (primary) microphone position, the main system and the sub system are independently stimulated, and their levels and magnitude responses are measured (see Level Matching). A gain factor is then calculated for the sub system to match the level of the
4、main system. The rest of the auto-EQ process is carried out with both the main system and the sub system active. Several sequences are repeated, and the result averaged. The recorded sequence is then correlated with the original stimulus in such a way as to derive an impulse response for the system.
5、 With knowledge of the parameters of the pink filter etc, an impulse response for the room can be calculated from which the magnitude response parameters can be obtained using an FFT with a window function. The linear-frequency domain FFT data is converted to log-spaced bands for EQ response fitting
6、. At the first (primary) microphone position, the magnitude response is evaluated (see below) firstly with normal polarity, and then with reverse polarity. The responses are then compared over the range to be EQd, and whichever polarity setting has fewer points beyond the Max Boost / Max Cut limits
7、is used for the rest of the auto-EQ process, and is retained for normal operation. If both responses lie within this range, the response with the smallest absolute error is chosen. The remaining microphone positions are then measured in a similar way, and their magnitude responses averaged. The resu
8、lting response is then inverted to obtain a required EQ response, and smoothed to take out noise and narrow peaks or dips, using moving average filtering. A target curve is then subtracted to compensate (where possible) for the LF response of the Main speakers. The parameters of a bank of Parametric
9、 equalisers are then manipulated to give a best-fit to the required response. The mapping of the required response to EQ parameters is done by looking for the frequencies with the worst error, assigning an EQ with the appropriate amount to boost to cancel the error at that frequency, then widening t
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