We consider classes of smooth functions on [0, 1] with mean square norm. We present a wavelet-based method for obtaining approximate pointwise reconstruction of every function with nearly minimal cost without substantially increasing the amount of data stored. In more detail: each function f of a class is supplied with a binary code of minimal (up to a constant factor) length, where the minimal...
